code: def correct_wikihomograph_data(
      sentence: str, start: int = None, end: int = None
  ):
      """
      Correct indices for WikiHomograph data
  
      Args:
          sentence: sentence
          start: start index of homograph
          end: end index of homograph
  
      """
      corrections = {
          "It is traditionally composed of 85–99% tin, mixed with copper, antimony, bismuth, and sometimes lead, although the use of lead is less common today.": [
              96,
              100,
          ],
          "B₁₀₅ can be conceptually divided into a B₄₈ fragment and B₂₈-B-B₂₈ (B₅₇) fragment.": [
              44,
              52,
          ],
          "Pierrefonds Airport on Réunion recorded just 18 mm (0.71 in) of rainfall from November to January, a record minimum.": [
              101,
              107,
          ],
          "Consort Chen Farong (陳法容) was an imperial consort during the Chinese dynasty Liu Song.": [
              42,
              49,
          ],
          "Unlike TiO₂, which features six-coordinate Ti in all phases, monoclinic zirconia consists of seven-coordinate zirconium centres.": [
              32,
              42,
          ],
          "Its area is 16 km², its approximate length is 10 km, and its approximate width is 3 km.": [
              24,
              35,
          ],
          "The conjugate momentum to X has the expressionwhere the pᵢ are the momentum functions conjugate to the coordinates.": [
              86,
              95,
          ],
          "Furthermore 17β-HSD1 levels positively correlate with E2 and negatively correlate with DHT levels in breast cancer cells.": [
              39,
              48,
          ],
          "Electric car buyers get a €4,000 (US$4,520) discount while buyers of plug-in hybrid vehicles get a discount of €3,000 (US$3,390).": [
              99,
              107,
          ],
      }
  
      if sentence in corrections:
          start, end = corrections[sentence]
  
      sentence = sentence.replace(
          "2014Coordinate", "2014 Coordinate"
      )  # for normalized data for G2P OOV models
      sentence = sentence.replace(
          "AAA", "triple A"
      )  # for normalized data for G2P OOV models
  
      return sentence, start, end
  
file_path: NeMo/scripts/dataset_processing/g2p/export_wikihomograph_data_to_manifest.py
imports: import csv
  import json
  from argparse import ArgumentParser
  from glob import glob
  from typing import List, Tuple
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling a global function with example usage: correct_wikihomograph_data(sentence, start, end) and returns: sentence,  start,  end